Contributed Documentation

Manuals, tutorials, etc. provided by users of R. The R core team does
not take any responsibility for contents, but we appreciate the
effort very much and encourage everybody to contribute to this list! To submit, follow the submission instructions on the CRAN main page.
All material below is available directly from CRAN,
you may also want to look at the list of
other R
documentation available on the Internet.

Note:
Please use the directory listing to sort by
name, size or date (e.g., to see which documents have been updated latetly).

“Using R for Data Analysis and Graphics -
Introduction, Examples and Commentary”
by John Maindonald (PDF, data
sets and scripts are available at
JM's homepage).

“Practical Regression and Anova using R”
by Julian Faraway
(PDF,
data sets and scripts are available at the
book
homepage).

The
Web
Appendix to the book “An R Companion to Applied
Regression” (second edition) by John Fox and Sanford Weisberg
contains information about R to fit a variety of regression models.

“An Introduction to S and the Hmisc and Design
Libraries” by Carlos Alzola and Frank E. Harrell,
especially of interest to SAS users, users of the Hmisc or Design
packages, or R users interested in data manipulation, recoding,
etc. (PDF)

“An Introduction to R: Software for
Statistical Modelling & Computing”
by Petra Kuhnert and Bill Venables
(ZIP
3.8MB):
A 360 page PDF document of lecture notes in combination with the
data sets and R scripts used in the manuscript.

“Introduction to the R Project for Statistical
Computing for Use at the ITC”
by David Rossiter
(PDF, 2012-08-20,
141 pages).

“Analysis of Epidemiological Data Using R and
Epicalc”
by Virasakdi Chongsuvivatwong
(PDF).

“Statistics Using R with Biological Examples”
by Kim Seefeld and Ernst Linder
(PDF).

Non-English Documents

Chinese

“Frequently asked questions” by
Sizhe Liu (PDF, 2013-02-06).
A collection of FAQs and answers from Chinese R discussion
forums.
Note that this is an independent collection, this is not a
translation of the official R FAQs.

French

“R pour les débutants”
by Emmanuel Paradis, the French version of
“R for Beginners”
(PDF).

“Introduction au système R”
by Yves Brostaux, a short introduction bundled together with data
sets used in the document
(ZIP,
TGZ).

“Introduction à la programmation en R,
Cinquième édition”
by Vincent Goulet, an introduction to programming in R
(PDF,
2016-04-27, 218 pages).
The document comes with script files for examples sections
(ZIP),
and points to short
videos
explaining some of the more challenging topics.

German

“Einführung in R”
by Günther Sawitzki
(PDF),
lecture notes for a 4-5 day introductory course in programming in
the S language for students with basic knowledge in probability
theory. See also the
StatLab Heidelberg S page
for more information.